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Featured researches published by Nina Roswall.


The Lancet Diabetes & Endocrinology | 2014

Differences in the prospective association between individual plasma phospholipid saturated fatty acids and incident type 2 diabetes: the EPIC-InterAct case-cohort study

Nita G. Forouhi; Albert Koulman; Stephen J. Sharp; Fumiaki Imamura; Janine Kröger; Matthias B. Schulze; Francesca L. Crowe; José María Huerta; Marcela Guevara; Joline W.J. Beulens; Geertruida J. van Woudenbergh; Laura Wang; Keith Summerhill; Julian L. Griffin; Edith J. M. Feskens; Pilar Amiano; Heiner Boeing; Françoise Clavel-Chapelon; Laureen Dartois; Guy Fagherazzi; Paul W. Franks; Carlos A. González; Marianne Uhre Jakobsen; Rudolf Kaaks; Timothy J. Key; Kay-Tee Khaw; Tilman Kühn; Amalia Mattiello; Peter Nilsson; Kim Overvad

Summary Background Conflicting evidence exists regarding the association between saturated fatty acids (SFAs) and type 2 diabetes. In this longitudinal case-cohort study, we aimed to investigate the prospective associations between objectively measured individual plasma phospholipid SFAs and incident type 2 diabetes in EPIC-InterAct participants. Methods The EPIC-InterAct case-cohort study includes 12 403 people with incident type 2 diabetes and a representative subcohort of 16 154 individuals who were selected from a cohort of 340 234 European participants with 3·99 million person-years of follow-up (the EPIC study). Incident type 2 diabetes was ascertained until Dec 31, 2007, by a review of several sources of evidence. Gas chromatography was used to measure the distribution of fatty acids in plasma phospholipids (mol%); samples from people with type 2 diabetes and subcohort participants were processed in a random order by centre, and laboratory staff were masked to participant characteristics. We estimated country-specific hazard ratios (HRs) for associations per SD of each SFA with incident type 2 diabetes using Prentice-weighted Cox regression, which is weighted for case-cohort sampling, and pooled our findings using random-effects meta-analysis. Findings SFAs accounted for 46% of total plasma phospholipid fatty acids. In adjusted analyses, different individual SFAs were associated with incident type 2 diabetes in opposing directions. Even-chain SFAs that were measured (14:0 [myristic acid], 16:0 [palmitic acid], and 18:0 [stearic acid]) were positively associated with incident type 2 diabetes (HR [95% CI] per SD difference: myristic acid 1·15 [95% CI 1·09–1·22], palmitic acid 1·26 [1·15–1·37], and stearic acid 1·06 [1·00–1·13]). By contrast, measured odd-chain SFAs (15:0 [pentadecanoic acid] and 17:0 [heptadecanoic acid]) were inversely associated with incident type 2 diabetes (HR [95% CI] per 1 SD difference: 0·79 [0·73–0·85] for pentadecanoic acid and 0·67 [0·63–0·71] for heptadecanoic acid), as were measured longer-chain SFAs (20:0 [arachidic acid], 22:0 [behenic acid], 23:0 [tricosanoic acid], and 24:0 [lignoceric acid]), with HRs ranging from 0·72 to 0·81 (95% CIs ranging between 0·61 and 0·92). Our findings were robust to a range of sensitivity analyses. Interpretation Different individual plasma phospholipid SFAs were associated with incident type 2 diabetes in opposite directions, which suggests that SFAs are not homogeneous in their effects. Our findings emphasise the importance of the recognition of subtypes of these fatty acids. An improved understanding of differences in sources of individual SFAs from dietary intake versus endogenous metabolism is needed. Funding EU FP6 programme, Medical Research Council Epidemiology Unit, Medical Research Council Human Nutrition Research, and Cambridge Lipidomics Biomarker Research Initiative.


European Journal of Clinical Nutrition | 2009

Use of dietary supplements in the European Prospective Investigation into Cancer and Nutrition calibration study

Guri Skeie; Tonje Braaten; Anette Hjartåker; Marleen A. H. Lentjes; Pilar Amiano; Paula Jakszyn; Valeria Pala; A. Palanca; E. M. Niekerk; H. Verhagen; K. Avloniti; Theodora Psaltopoulou; M. Niravong; Mathilde Touvier; K. Nimptsch; J. Haubrock; L. Walker; Elizabeth A. Spencer; Nina Roswall; A. Olsen; Peter Wallström; S. Nilsson; Corinne Casagrande; G. Deharveng; Veronica Hellstrom; M. C. Boutron-Ruault; Anne Tjønneland; A. M. Joensen; F. Clavel-Chapelon; Antonia Trichopoulou

Background:Dietary supplement use is increasing, but there are few comparable data on supplement intakes and how they affect the nutrition and health of European consumers. The aim of this study was to describe the use of dietary supplements in subsamples of the 10 countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC).Methods:Specific questions on dietary supplement use were asked as a part of single 24-h recalls performed on 36 034 men and women aged 35–74 years from 1995 to 2000.Results:Between countries, the mean percentage of dietary supplement use varied almost 10-fold among women and even more among men. There was a clear north–south gradient in use, with a higher consumption in northern countries. The lowest crude mean percentage of use was found in Greece (2.0% among men, 6.7% among women), and the highest was in Denmark (51.0% among men, 65.8% among women). Use was higher in women than in men. Vitamins, minerals or combinations of them were the predominant types of supplements reported, but there were striking differences between countries.Conclusions:This study indicates that there are wide variations in supplement use in Europe, which may affect individual and population nutrient intakes. The results underline the need to monitor consumption of dietary supplements in Europe, as well as to evaluate the risks and benefits.


European Journal of Clinical Nutrition | 2012

Fruit and vegetable intake and type 2 diabetes: EPIC-InterAct prospective study and meta-analysis

A. J. Cooper; N. G. Forouhi; Z. Ye; Brian Buijsse; Larraitz Arriola; B. Balkau; Aurelio Barricarte; Joline W.J. Beulens; Heiner Boeing; Frederike L. Büchner; Christina C. Dahm; B. de Lauzon-Guillain; Guy Fagherazzi; Paul W. Franks; Carmen Victoria Almeida González; Sara Grioni; R. Kaaks; Timothy J. Key; Giovanna Masala; Carmen Navarro; Peter Nilsson; Kim Overvad; Salvatore Panico; J. Ramón Quirós; Olov Rolandsson; Nina Roswall; C. Sacerdote; M. J. Sánchez; Nadia Slimani; Ivonne Sluijs

Fruit and vegetable intake (FVI) may reduce the risk of type 2 diabetes (T2D), but the epidemiological evidence is inconclusive. The aim of this study is to examine the prospective association of FVI with T2D and conduct an updated meta-analysis. In the European Prospective Investigation into Cancer-InterAct (EPIC-InterAct) prospective case–cohort study nested within eight European countries, a representative sample of 16 154 participants and 12 403 incident cases of T2D were identified from 340 234 individuals with 3.99 million person-years of follow-up. For the meta-analysis we identified prospective studies on FVI and T2D risk by systematic searches of MEDLINE and EMBASE until April 2011. In EPIC-InterAct, estimated FVI by dietary questionnaires varied more than twofold between countries. In adjusted analyses the hazard ratio (95% confidence interval) comparing the highest with lowest quartile of reported intake was 0.90 (0.80–1.01) for FVI; 0.89 (0.76–1.04) for fruit and 0.94 (0.84–1.05) for vegetables. Among FV subtypes, only root vegetables were inversely associated with diabetes 0.87 (0.77–0.99). In meta-analysis using pooled data from five studies including EPIC-InterAct, comparing the highest with lowest category for FVI was associated with a lower relative risk of diabetes (0.93 (0.87–1.00)). Fruit or vegetables separately were not associated with diabetes. Among FV subtypes, only green leafy vegetable (GLV) intake (relative risk: 0.84 (0.74–0.94)) was inversely associated with diabetes. Subtypes of vegetables, such as root vegetables or GLVs may be beneficial for the prevention of diabetes, while total FVI may exert a weaker overall effect.


PLOS ONE | 2011

Genetic Variability of the mTOR Pathway and Prostate Cancer Risk in the European Prospective Investigation on Cancer (EPIC)

Daniele Campa; Anika Hüsing; Angelika Stein; Lucie Dostal; Heiner Boeing; Tobias Pischon; Anne Tjønneland; Nina Roswall; Kim Overvad; Jane Nautrup Østergaard; Laudina Rodríguez; Núria Sala; Maria José Sánchez; Nerea Larrañaga; José María Huerta; Aurelio Barricarte; Kay-Tee Khaw; Nicholas J. Wareham; Ruth C. Travis; Naomi E. Allen; Pagona Lagiou; Antonia Trichopoulou; Dimitrios Trichopoulos; Domenico Palli; Sabina Sieri; Rosario Tumino; Carlotta Sacerdote; Henk van Kranen; H. Bas Bueno-de-Mesquita; Göran Hallmans

The mTOR (mammalian target of rapamycin) signal transduction pathway integrates various signals, regulating ribosome biogenesis and protein synthesis as a function of available energy and amino acids, and assuring an appropriate coupling of cellular proliferation with increases in cell size. In addition, recent evidence has pointed to an interplay between the mTOR and p53 pathways. We investigated the genetic variability of 67 key genes in the mTOR pathway and in genes of the p53 pathway which interact with mTOR. We tested the association of 1,084 tagging SNPs with prostate cancer risk in a study of 815 prostate cancer cases and 1,266 controls nested within the European Prospective Investigation into Cancer and Nutrition (EPIC). We chose the SNPs (n = 11) with the strongest association with risk (p<0.01) and sought to replicate their association in an additional series of 838 prostate cancer cases and 943 controls from EPIC. In the joint analysis of first and second phase two SNPs of the PRKCI gene showed an association with risk of prostate cancer (ORallele = 0.85, 95% CI 0.78–0.94, p = 1.3×10−3 for rs546950 and ORallele = 0.84, 95% CI 0.76–0.93, p = 5.6×10−4 for rs4955720). We confirmed this in a meta-analysis using as replication set the data from the second phase of our study jointly with the first phase of the Cancer Genetic Markers of Susceptibility (CGEMS) project. In conclusion, we found an association with prostate cancer risk for two SNPs belonging to PRKCI, a gene which is frequently overexpressed in various neoplasms, including prostate cancer.


Diabetes | 2014

Common Genetic Variants Highlight the Role of Insulin Resistance and Body Fat Distribution in Type 2 Diabetes, Independent of Obesity

Robert A. Scott; Tove Fall; Dorota Pasko; Adam Barker; Stephen J. Sharp; Larraitz Arriola; Beverley Balkau; Aurelio Barricarte; Inês Barroso; Heiner Boeing; Françoise Clavel-Chapelon; Francesca L. Crowe; Jacqueline M. Dekker; Guy Fagherazzi; Ele Ferrannini; Nita G. Forouhi; Paul W. Franks; Diana Gavrila; Vilmantas Giedraitis; Sara Grioni; Leif Groop; Rudolf Kaaks; Timothy J. Key; Tilman Kühn; Luca A. Lotta; Peter Nilsson; Kim Overvad; Domenico Palli; Salvatore Panico; J. Ramón Quirós

We aimed to validate genetic variants as instruments for insulin resistance and secretion, to characterize their association with intermediate phenotypes, and to investigate their role in type 2 diabetes (T2D) risk among normal-weight, overweight, and obese individuals. We investigated the association of genetic scores with euglycemic-hyperinsulinemic clamp– and oral glucose tolerance test–based measures of insulin resistance and secretion and a range of metabolic measures in up to 18,565 individuals. We also studied their association with T2D risk among normal-weight, overweight, and obese individuals in up to 8,124 incident T2D cases. The insulin resistance score was associated with lower insulin sensitivity measured by M/I value (β in SDs per allele [95% CI], −0.03 [−0.04, −0.01]; P = 0.004). This score was associated with lower BMI (−0.01 [−0.01, −0.0]; P = 0.02) and gluteofemoral fat mass (−0.03 [−0.05, −0.02; P = 1.4 × 10−6) and with higher alanine transaminase (0.02 [0.01, 0.03]; P = 0.002) and γ-glutamyl transferase (0.02 [0.01, 0.03]; P = 0.001). While the secretion score had a stronger association with T2D in leaner individuals (Pinteraction = 0.001), we saw no difference in the association of the insulin resistance score with T2D among BMI or waist strata (Pinteraction > 0.31). While insulin resistance is often considered secondary to obesity, the association of the insulin resistance score with lower BMI and adiposity and with incident T2D even among individuals of normal weight highlights the role of insulin resistance and ectopic fat distribution in T2D, independently of body size.


Journal of Nutrition | 2014

Dietary Intakes of Individual Flavanols and Flavonols Are Inversely Associated with Incident Type 2 Diabetes in European Populations

Raul Zamora-Ros; Nita G. Forouhi; Stephen J. Sharp; Carlos A. González; Brian Buijsse; Marcela Guevara; Yvonne T. van der Schouw; Pilar Amiano; Heiner Boeing; Lea Bredsdorff; Guy Fagherazzi; Edith J. M. Feskens; Paul W. Franks; Sara Grioni; Verena Katzke; Timothy J. Key; Kay-Tee Khaw; Tilman Kühn; Giovanna Masala; Amalia Mattiello; Esther Molina-Montes; Peter Nilsson; Kim Overvad; Florence Perquier; M. Luisa Redondo; Fulvio Ricceri; Olov Rolandsson; Isabelle Romieu; Nina Roswall; Augustin Scalbert

Dietary flavanols and flavonols, flavonoid subclasses, have been recently associated with a lower risk of type 2 diabetes (T2D) in Europe. Even within the same subclass, flavonoids may differ considerably in bioavailability and bioactivity. We aimed to examine the association between individual flavanol and flavonol intakes and risk of developing T2D across European countries. The European Prospective Investigation into Cancer and Nutrition (EPIC)–InterAct case-cohort study was conducted in 8 European countries across 26 study centers with 340,234 participants contributing 3.99 million person-years of follow-up, among whom 12,403 incident T2D cases were ascertained and a center-stratified subcohort of 16,154 individuals was defined. We estimated flavonoid intake at baseline from validated dietary questionnaires using a database developed from Phenol-Explorer and USDA databases. We used country-specific Prentice-weighted Cox regression models and random-effects meta-analysis methods to estimate HRs. Among the flavanol subclass, we observed significant inverse trends between intakes of all individual flavan-3-ol monomers and risk of T2D in multivariable models (all P-trend < 0.05). We also observed significant trends for the intakes of proanthocyanidin dimers (HR for the highest vs. the lowest quintile: 0.81; 95% CI: 0.71, 0.92; P-trend = 0.003) and trimers (HR: 0.91; 95% CI: 0.80, 1.04; P-trend = 0.07) but not for proanthocyanidins with a greater polymerization degree. Among the flavonol subclass, myricetin (HR: 0.77; 95% CI: 0.64, 0.93; P-trend = 0.001) was associated with a lower incidence of T2D. This large and heterogeneous European study showed inverse associations between all individual flavan-3-ol monomers, proanthocyanidins with a low polymerization degree, and the flavonol myricetin and incident T2D. These results suggest that individual flavonoids have different roles in the etiology of T2D.


The Lancet Diabetes & Endocrinology | 2014

Non-invasive risk scores for prediction of type 2 diabetes (EPIC-InterAct): a validation of existing models.

Andre Pascal Kengne; Joline W.J. Beulens; Linda M. Peelen; Karel G.M. Moons; Yvonne T. van der Schouw; Matthias B. Schulze; Annemieke M. W. Spijkerman; Simon J. Griffin; Diederick E. Grobbee; Luigi Palla; María José Tormo; Larraitz Arriola; Noël C. Barengo; Aurelio Barricarte; Heiner Boeing; Catalina Bonet; Françoise Clavel-Chapelon; Laureen Dartois; Guy Fagherazzi; Paul W. Franks; José María Huerta; Rudolf Kaaks; Timothy J. Key; Kay-Tee Khaw; Kuanrong Li; Kristin Mühlenbruch; Peter Nilsson; Kim Overvad; Thure Filskov Overvad; Domenico Palli

BACKGROUND The comparative performance of existing models for prediction of type 2 diabetes across populations has not been investigated. We validated existing non-laboratory-based models and assessed variability in predictive performance in European populations. METHODS We selected non-invasive prediction models for incident diabetes developed in populations of European ancestry and validated them using data from the EPIC-InterAct case-cohort sample (27,779 individuals from eight European countries, of whom 12,403 had incident diabetes). We assessed model discrimination and calibration for the first 10 years of follow-up. The models were first adjusted to the country-specific diabetes incidence. We did the main analyses for each country and for subgroups defined by sex, age (<60 years vs ≥60 years), BMI (<25 kg/m(2)vs ≥25 kg/m(2)), and waist circumference (men <102 cm vs ≥102 cm; women <88 cm vs ≥88 cm). FINDINGS We validated 12 prediction models. Discrimination was acceptable to good: C statistics ranged from 0·76 (95% CI 0·72-0·80) to 0·81 (0·77-0·84) overall, from 0·73 (0·70-0·76) to 0·79 (0·74-0·83) in men, and from 0·78 (0·74-0·82) to 0·81 (0·80-0·82) in women. We noted significant heterogeneity in discrimination (pheterogeneity<0·0001) in all but one model. Calibration was good for most models, and consistent across countries (pheterogeneity>0·05) except for three models. However, two models overestimated risk, DPoRT by 34% (95% CI 29-39%) and Cambridge by 40% (28-52%). Discrimination was always better in individuals younger than 60 years or with a low waist circumference than in those aged at least 60 years or with a large waist circumference. Patterns were inconsistent for BMI. All models overestimated risks for individuals with a BMI of <25 kg/m(2). Calibration patterns were inconsistent for age and waist-circumference subgroups. INTERPRETATION Existing diabetes prediction models can be used to identify individuals at high risk of type 2 diabetes in the general population. However, the performance of each model varies with country, age, sex, and adiposity. FUNDING The European Union.


International Journal of Cancer | 2012

Variety in vegetable and fruit consumption and the risk of gastric and esophageal cancer in the European Prospective investigation into cancer and nutrition

Suzanne M. Jeurnink; Frederike L. Büchner; H. B. Bueno-De-Mesquita; Peter D. Siersema; Hendriek C. Boshuizen; M. E. Numans; Christina C. Dahm; Kim Overvad; Anne Tjønneland; Nina Roswall; F. Clavel-Chapelon; Marie-Christine Boutron-Ruault; Sophie Morois; R. Kaaks; Birgit Teucher; Heiner Boeing; Brian Buijsse; Antonia Trichopoulou; Vassiliki Benetou; Dimosthenis Zylis; Domenico Palli; S. Sieri; Paolo Vineis; R. Tumino; Salvatore Panico; Marga C. Ocké; P.H.M. Peeters; Guri Skeie; Magritt Brustad; Eiliv Lund

Diets high in vegetables and fruits have been suggested to be inversely associated with risk of gastric cancer. However, the evidence of the effect of variety of consumption is limited. We therefore investigated whether consumption of a variety of vegetables and fruit is associated with gastric and esophageal cancer in the European Prospective Investigation into Cancer and Nutrition study. Data on food consumption and follow‐up on cancer incidence were available for 452,269 participants from 10 European countries. After a mean follow‐up of 8.4 years, 475 cases of gastric and esophageal adenocarcinomas (180 noncardia, 185 cardia, gastric esophageal junction and esophagus, 110 not specified) and 98 esophageal squamous cell carcinomas were observed. Diet Diversity Scores were used to quantify the variety in vegetable and fruit consumption. We used multivariable Cox proportional hazard models to calculate risk ratios. Independent from quantity of consumption, variety in the consumption of vegetables and fruit combined and of fruit consumption alone were statistically significantly inversely associated with the risk of esophageal squamous cell carcinoma (continuous hazard ratio per 2 products increment 0.88; 95% CI 0.79–0.97 and 0.76; 95% CI 0.62–0.94, respectively) with the latter particularly seen in ever smokers. Variety in vegetable and/or fruit consumption was not associated with risk of gastric and esophageal adenocarcinomas. Independent from quantity of consumption, more variety in vegetable and fruit consumption combined and in fruit consumption alone may decrease the risk of esophageal squamous cell carcinoma. However, residual confounding by lifestyle factors cannot be excluded.


Annals of Oncology | 2013

Diabetes mellitus, insulin treatment, diabetes duration, and risk of biliary tract cancer and hepatocellular carcinoma in a European cohort

Sabrina Schlesinger; Krasimira Aleksandrova; Tobias Pischon; Mazda Jenab; Veronika Fedirko; Elisabeth Trepo; Kim Overvad; Nina Roswall; Anne Tjønneland; M. C. Boutron-Ruault; Guy Fagherazzi; Antoine Racine; R. Kaaks; Verena Grote; Heiner Boeing; Antonia Trichopoulou; M. Pantzalis; Maria Kritikou; Amalia Mattiello; S. Sieri; C. Sacerdote; Domenico Palli; R. Tumino; Petra H. Peeters; H. B. Bueno-De-Mesquita; Elisabete Weiderpass; J. R. Quiros; Raul Zamora-Ros; M. J. Sánchez; Larraitz Arriola

BACKGROUND Evidence on associations between self-reported diabetes mellitus, diabetes duration, age at diabetes diagnosis, insulin treatment, and risk of biliary tract cancer (BTC) and hepatocellular carcinoma (HCC), independent of general and abdominal obesity is scarce. PATIENTS AND METHODS We conducted a prospective analysis in the EPIC-cohort study among 363 426 participants with self-reported diabetes data. Multivariable adjusted relative risks and 95% confidence intervals were estimated from Cox regression models. In a nested case-control subset, analyses were carried out in HCV/HBV-negative individuals. RESULTS During 8.5 years of follow-up, 204 BTC cases [including 75 gallbladder cancer (GBC) cases], and 176 HCC cases were identified. Independent of body mass index and waist-to-height ratio diabetes status was associated with higher risk of BTC and HCC [1.77 (1.00-3.13) and 2.17 (1.36-3.47)]. For BTC, the risk seemed to be higher in participants with shorter diabetes duration and those not treated with insulin. Regarding cancer subsites, diabetes was only associated with GBC [2.72 (1.17-6.31)]. The risk for HCC was particularly higher in participants treated with insulin. The results were not appreciably different in HCV/HBV-negative individuals. CONCLUSION(S) This study supports the hypothesis that diabetes is a risk factor for BTC (particularly GBC) and HCC. Further research is required to establish whether diabetes treatment or duration is associated with these cancers.


Journal of Nutrition | 2013

Dietary Glycemic Index, Glycemic Load, and Digestible Carbohydrate Intake Are Not Associated with Risk of Type 2 Diabetes in Eight European Countries

Ivonne Sluijs; Joline W.J. Beulens; Yvonne T. van der Schouw; Daphne L. van der A; Genevieve Buckland; Anneleen Kuijsten; Matthias B. Schulze; Pilar Amiano; Eva Ardanaz; Beverley Balkau; Heiner Boeing; Diana Gavrila; Verena Grote; Timothy J. Key; Kuanrong Li; Peter Nilsson; Kim Overvad; Domenico Palli; Salvatore Panico; J. R. Quiros; Olov Rolandsson; Nina Roswall; Carlotta Sacerdote; María José Sánchez; Sabina Sieri; Nadia Slimani; Annemieke M. W. Spijkerman; Anne Tjønneland; Rosario Tumino; Stephen J. Sharp

The association of glycemic index (GI) and glycemic load (GL) with the risk of type 2 diabetes remains unclear. We investigated associations of dietary GI, GL, and digestible carbohydrate with incident type 2 diabetes. We performed a case-cohort study nested within the European Prospective Investigation into Cancer and Nutrition Study, including a random subcohort (n = 16,835) and incident type 2 diabetes cases (n = 12,403). The median follow-up time was 12 y. Baseline dietary intakes were assessed using country-specific dietary questionnaires. Country-specific HR were calculated and pooled using random effects meta-analysis. Dietary GI, GL, and digestible carbohydrate in the subcohort were (mean ± SD) 56 ± 4, 127 ± 23, and 226 ± 36 g/d, respectively. After adjustment for confounders, GI and GL were not associated with incident diabetes [HR highest vs. lowest quartile (HR(Q4)) for GI: 1.05 (95% CI = 0.96, 1.16); HR(Q4) for GL: 1.07 (95% CI = 0.95, 1.20)]. Digestible carbohydrate intake was not associated with incident diabetes [HR(Q4): 0.98 (95% CI = 0.86, 1.10)]. In additional analyses, we found that discrepancies in the GI value assignment to foods possibly explain differences in GI associations with diabetes within the same study population. In conclusion, an expansion of the GI tables and systematic GI value assignment to foods may be needed to improve the validity of GI values derived in such studies, after which GI associations may need reevaluation. Our study shows that digestible carbohydrate intake is not associated with diabetes risk and suggests that diabetes risk with high-GI and -GL diets may be more modest than initial studies suggested.

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Heiner Boeing

Free University of Berlin

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Antonia Trichopoulou

National and Kapodistrian University of Athens

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Rudolf Kaaks

German Cancer Research Center

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Salvatore Panico

University of Naples Federico II

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Rosario Tumino

International Agency for Research on Cancer

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Amalia Mattiello

University of Naples Federico II

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